Improving multi-objective random one-bit climbers on MNK-landscapes

Conference Object

Abstract: Multi-objective random one-bit climbers (moRBCs) are one class of stochastic local search-based algo

Palabras claves:

Adaptive ε-ranking, many-objective optimization, MNK-Landscapes, multi-objective optimization, Random bit climbers

Autores:

Hernán E. Aguirre, Pasia J., Tanaka K.

Fuentes:

scopus